Data mining Data mining Data Mining refers to the nontrivial extraction of implicit, previously unknown and potentially useful information from data in databases. The kinds of patterns that can be discovered depend upon the data mining tasks employed. By and large, there are two types of data mining tasks:
Tweet I have seen many people asking for help in data mining forums and on other websites about how to choose a good thesis topic in data mining.
Therefore, in this this post, I will address this question. Personally, I think that designing or improving data mining techniques is more challenging than using already existing techniques. Moreover, you can make a more fundamental contribution if you work on improving data mining techniques instead of applying them.
Data mining is a broad field consisting of many techniques such as neural networks, association rule mining algorithms, clustering and outlier detection.
You should try to get some overview of the different techniques to see what you are more interested in. If your goal is just to apply data mining techniques to achieve some other purpose e. This requires more thoughts. This helps to see what are the current popular topics and what kind of problems researchers are currently trying to solve.
Nov 12, · In data mining, association rule learning is an extremely vital tool through which two previously unrelated variables can be related in a significantly large data pool. Through this method, strong rules are successfully discovered in databases. In this blog post, I will give an introduction about a popular problem in data mining, which is called “high-utility itemset mining” or more generally utility mining. I will give an overview of this problem, explains why it is interesting, and provide source code of Continue reading →. International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research.
It does not mean that you need to work on the most popular topic. Working on a popular topic e. It is easier to get grants or in some case to get your papers accepted in special issues, workshops, etc. Actually, the most important is that you find a topic that you like and will enjoy working on it for perhaps a few years of your life.
Finding a good problem to work on can require to read several articles to understand what are the limitations of current techniques and decide what can be improved.
It is normal that it takes time to find a more specific topic. Therefore, if you are looking for a thesis topic, it is good to talk with your supervisor and ask for suggestions. He should help you. Choosing a supervisor is a very important and strategic decision that every graduate student has to make.
For more information about choosing a supervisor, you can read this post: How to choose a research advisor for M. There are two problems with this question. The first problem is that it is too general. As mentioned, data mining is a very broad field. For example, I could suggest you some very specific topics such as detecting outliers in imbalanced stock market data or to optimize the memory efficiency of subgraph mining algorithms for community detection in social networks.
But will you like it? It is best to choose something by yourself that you like. The second problem with the above question is that choosing a topic is the work that a researcher should do or learn to do.
In fact, in research, it is equally important to be able to find a good research problem as it is to find a good solution. Therefore, I highly recommend to try to find a research topic by yourself, as it is important to develop this skill to become a successful researcher.
If you are a student, when searching for a topic, you can ask your research advisor to guide you.One of the popular descriptive data mining techniques is Association rule mining (ARM), was first introduced in Agrawal, R., Imielinski, T., and Swami, A.
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INDIRECT ASSOCIATION RULE MINING FOR CRIME DATA ANALYSIS A Thesis Presented To Eastern Washington University with proper training and research.
Data mining is the process of Association rule mining is the process of finding relationships among different.